Lee Moosung, Shin Seungwoo, Park Yongkeun
Opt Express. 2017 Oct 30;25(22):27415-27430. doi: 10.1364/OE.25.027415.
Optical diffraction tomography (ODT) provides three-dimensional refractive index (RI) tomograms of a transparent microscopic object. However, because of the finite numerical aperture of objective lenses, ODT has a limited access to diffracted light and suffers from poor spatial resolution, particularly along the axial direction. To overcome the limitation of the quality of RI tomography, we present an algorithm that accurately reconstructs RI tomography of a specimen with discrete and uniform RI, using prior information about the RI levels. Through simulations and experiments on various samples, including microspheres, red blood cells, and water droplets, we show that the proposed method can precisely reconstruct RI tomograms of samples which have discrete and homogenous RI distributions in the presence of the missing information and noise.
光学衍射层析成像（ODT）可提供透明微观物体的三维折射率（RI）层析图像。然而，由于物镜的数值孔径有限，ODT对衍射光的获取有限，且空间分辨率较差，尤其是在轴向方向。为了克服RI层析成像质量的限制，我们提出了一种算法，该算法利用关于RI水平的先验信息，准确重建具有离散且均匀RI的样本的RI层析成像。通过对包括微球、红细胞和水滴在内的各种样本进行模拟和实验，我们表明，所提出的方法能够在存在信息缺失和噪声的情况下，精确重建具有离散且均匀RI分布的样本的RI层析图像。
